Programs

The UE mathematics programs are distinctive with a curriculum that allows for early exposure to upper level courses and the opportunity to explore multiple career paths.

Bachelor of Science with a major in Applied Mathematics

This degree program offers a firm foundation in applied mathematics by combining a rigorous program of study in mathematics with a concentration in one or more disciplines in which mathematical tools are used to solve real-world problems. Areas of application include, business administration, cognitive science, computer science, economics, and the physical or biological sciences.

  • Sample 4-year Plan Beginning in an Odd Year

    Fall Spring
    Freshman MATH 221 – Calculus I
    ECON 102 – Principles of Microeconomics
    QM 160 – Intro to Data Analytics
    MATH 222 – Calculus II
    Sophomore MATH 323 – Calculus III
    ACCT 210 – Principles of Accounting I
    MATH 324 – Differential Equations
    CS 205 – Programming for the Sciences
    Junior MATH 365 – Probability
    MATH - Elective
    MKT 325 – Introduction to Marketing
    MGT 377 - Organizational Behavior
    MATH 341 – Linear Algebra
    MATH 466 – Statistics
    FIN 361 – Fundamentals of Finance
    Senior MATH 495 – Senior Seminar: Mathematical Modeling
    Business – Elective
    MATH 373 – Numerical Methods
    MATH - Elective
    Business – Elective

    Sample 4-year Plan Beginning in an Even Year

    Fall Spring
    Freshman MATH 221 – Calculus I
    ECON 102 – Principles of Microeconomics
    QM 160 – Intro to Data Analytics
    MATH 222 – Calculus II
    Sophomore MATH 323 – Calculus III
    ACCT 210 – Principles of Accounting I
    MATH 324 – Differential Equations
    CS 205 – Programming for the Sciences
    Junior MATH 365 – Probability
    MATH - Elective
    MKT 325 – Introduction to Marketing
    MGT 377 - Organizational Behavior
    MATH 373 – Numerical Methods
    MATH 466 – Statistics
    FIN 361 – Fundamentals of Finance
    Senior MATH 495 – Senior Seminar: Mathematical Modeling
    Business – Elective
    MATH 341 – Linear Algebra
    MATH - Elective
    Business – Elective

    Recommended Electives

    • MATH 330 – Theory of Interest
    • ECON 300 – Regression Analysis

    These are sample plans of study. The courses listed are required for a B.S. with a major in applied mathematics and an area of application in business administration. Selected elective courses are also required. You will develop your own plan of study in consultation with your academic advisors.

  • Sample 4-year Plan Beginning in an Odd Year

    Fall Spring
    Freshman MATH 221 – Calculus I MATH 222 – Calculus II
    CS 210 – Intro to Computer Science
    Sophomore MATH 323 – Calculus III
    CS 215 – Data Structures and algorithms
    MATH 324 – Differential Equations
    MATH 341 – Linear Algebra
    CS 220 – Logic Design
    Junior MATH 365 – Probability
    MATH - Elective
    CS - Elective
    MATH 466 – Statistics
    MATH - Elective
    CS 290 – Object-Oriented Design
    Senior MATH 495 – Senior Seminar: Mathematical Modeling
    CS - Elective
    MATH 373 – Numerical Methods
    CS - Elective

    Sample 4-year Plan Beginning in an Even Year

    Fall Spring
    Freshman MATH 221 – Calculus I MATH 222 – Calculus II
    CS 210 – Intro to Computer Science
    Sophomore MATH 323 – Calculus III
    CS 215 – Data Structures and algorithms
    MATH 324 – Differential Equations
    MATH 341 – Linear Algebra
    CS 220 – Logic Design
    Junior MATH 365 – Probability
    MATH - Elective
    CS - Elective
    MATH 373 – Numerical Methods
    MATH 466 – Statistics
    CS 290 - Object-Oriented Design
    Senior MATH 495 – Senior Seminar: Mathematical Modeling
    CS - Elective
    MATH - Elective
    CS - Elective

    Recommended MATH and CS Electives

    • MATH 370 – Discrete and Combinatorial Mathematics
    • CS 381 – Formal Languages
    • CS 415 - Cryptography

    These are sample plans of study. The courses listed are required for a B.S. with a major in applied mathematics and an area of application in computer science. Selected elective courses are also required. You will develop your own plan of study in consultation with your academic advisors.

  • Sample 4-year Plan Beginning in an Odd Year

    Fall Spring
    Freshman MATH 221 – Calculus I
    ECON 101 – Principles of Macroeconomics
    QM 160 – Introduction to Data Analytics
    MATH 222 – Calculus II
    ECON 102 – Principles of Microeconomics
    Sophomore MATH 323 – Calculus III MATH 324 – Differential Equations
    MATH 341 – Linear Algebra
    CS 205 – Programming for the Sciences
    Junior MATH 365 – Probability
    MATH - Elective
    ECON 345 – Intermediate Microeconomics
    MATH 466 – Statistics
    MATH - Elective
    ECON 345 – Intermediate Microeconomics
    Senior MATH 495 – Senior Seminar: Mathematical Modeling
    ECON 300 – Regression Analysis
    MATH 373 – Numerical Methods
    ECON - Elective

    Sample 4-year Plan Beginning in an Even Year

    Fall Spring
    Freshman MATH 221 – Calculus I
    ECON 101 – Principles of Macroeconomics
    QM 160 – Introduction to Data Analytics
    MATH 222 – Calculus II
    ECON 102 – Principles of Microeconomics
    Sophomore MATH 323 – Calculus III
    ECON 345 – Intermediate Microeconomics
    MATH 324 – Differential Equations
    MATH 341 – Linear Algebra
    ECON 346 – Intermediate Macroeconomics
    CS 205 – Programming for the Sciences
    Junior MATH 365 – Probability
    ECON 300 – Regression Analysis
    MATH 373 – Numerical Methods
    MATH 466 – Statistics
    Senior MATH 495 – Senior Seminar: Mathematical Modeling
    MATH 300 – Regression Analysis
    MATH - Elective
    ECON - Elective

    Recommended Mathematics Electives

    • MATH 330 – Theory of Interest

    These are sample plans of study. The courses listed are required for a B.S. with a major in applied mathematics and an area of application in economics. Selected elective courses are also required. You will develop your own plan of study in consultation with your academic advisors.

  • Sample 4-year Plan Beginning in an Odd Year

    Fall Spring
    Freshman MATH 221 – Calculus I
    QM 160 – Introduction to Data Analytics
    MATH 222 – Calculus II
    PHYS 210 – Calculus Physics I
    Sophomore MATH 323 – Calculus III
    PHYS 211 – Calculus Physics II
    CS 210 – Intro to Computer Science
    MATH 324 – Differential Equations
    MATH 341 – Linear Algebra
    PHYS 213 – Intro to Modern Physics
    PHYS 214 – Modern Physics Laboratory
    Junior MATH 365 – Probability
    MATH - Elective
    MATH 466 – Statistics
    MATH - Elective
    PHYS 305 – Mathematical Physics
    Senior MATH 495 – Senior Seminar: Mathematical Modeling
    PHYS 401 – Advanced Electronmagnetics
    MATH 373 – Numerical Methods
    PHYS 416 - Statistical Thermodynamics

    Sample 4-year Plan Beginning in an Even Year

    Fall Spring
    Freshman MATH 221 – Calculus I
    QM 160 – Introduction to Data Analytics
    MATH 222 – Calculus II
    PHYS 210 – Calculus Physics I
    Sophomore MATH 323 – Calculus III
    PHYS 211 – Calculus Physics II
    CS 210 – Intro to Computer Science
    MATH 324 – Differential Equations
    MATH 341 – Linear Algebra
    PHYS 213 – Intro to Modern Physics
    PHYS 214 – Modern Physics Laboratory
    Junior MATH 365 – Probability
    MATH - Elective
    MATH 373 – Numerical Methods
    MATH 466 – Statistics
    PHYS 305 – Mathematical Physics
    Senior MATH 495 – Senior Seminar: Mathematical Modeling
    PHYS 401 – Advanced Electronmagnetics
    MATH - Elective
    PHYS 416 - Statistical Thermodynamics

    These are sample plans of study. The courses listed are required for a B.S. with a major in applied mathematics and an area of application in physics. Selected elective courses are also required. You will develop your own plan of study in consultation with your academic advisors.

Bachelor of Science with a major in Mathematics

This program is well-suited for students who seek certification to teach mathematics at the senior high, junior high, and middle school levels and also for students who desire a Bachelor of Science degree with a major in mathematics and a minor (or second major) in an area unrelated to mathematics. The course work in mathematics is sufficiently rigorous to provide preparation for graduate work in mathematics.

  • Sample 4-year Plan Beginning in an Odd Year

    Fall Spring
    Freshman MATH 221 – Calculus I MATH 222 – Calculus II
    QM 160 – Intro to Data Analytics
    Sophomore MATH 323 – Calculus III
    MATH – Elective
    MATH 341 – Linear Algebra
    CS 205 – Programming for the Sciences
    Junior MATH 365 – Probability
    MATH - Elective
    MATH 466 – Statistics
    Senior MATH 420 – Intro to Real Analysis
    MATH 495 – Senior Seminar: Mathematical Modeling
    MATH 445 – Abstract Algebra

    Sample 4-year Plan Beginning in an Even Year

    Fall Spring
    Freshman MATH 221 – Calculus I MATH 222 – Calculus II
    QM 160 – Intro to Data Analytics
    Sophomore MATH 323 – Calculus III
    MATH – Elective
    MATH 341 – Linear Algebra
    CS 205 – Programming for the Sciences
    Junior MATH 365 – Probability
    Math 420 – Intro to Real Analysis
    MATH 445 – Abstract Algebra
    MATH 466 – Statistics
    Senior MATH 495 – Senior Seminar: Mathematical Modeling MATH – Elective

    These are sample plans of study. The courses listed are required for a B.S. with a major in mathematics. Selected elective courses are also required. You will develop your own plan of study in consultation with your academic advisors.

  • Sample 4-year Plan Beginning in an Odd Year

    Fall Spring
    Freshman MATH 221 – Calculus I
    EDUC 150 – Foundations and Diversity in American Education
    PSYC 121 – Introduction to Psychology
    MATH 222 – Calculus II
    PSYC 226 – Child and Adolescent Psychology
    EDUC 320 – Teaching Strategies K-12
    Sophomore MATH 323 – Calculus III
    MATH 370 – Combinatorial Mathematics
    EDUC 322 – Special Needs Students K-12
    QM 160 – Intro to Data Analytics
    MATH 341 – Linear Algebra
    EDUC 385 – Multicultural Understanding
    CS 205 – Programming for the Sciences
    Junior MATH 355 – Foundations of Geometry
    MATH 365 – Probability
    EDUC 363 – Teaching in Secondary Schools
    EDUC 456 – Methods of Teaching Math
    MATH 425 – Complex Variables
    MATH 466 – Statistics
    EDUC 443 – Curriculum in Middle School
    Senior MATH 420 – Intro to Real Analysis
    MATH 495 – Senior Seminar: Mathematical Modeling
    EDUC 428 – Reading in the Content Area
    EDUC 435 – Supervised Teaching Seminar
    EDUC 436 – Supervised Teaching

    Sample 4-year Plan Beginning in an Even Year

    Fall Spring
    Freshman MATH 221 – Calculus I
    EDUC 150 – Foundations and Diversity in American Education
    PSYC 121 – Introduction to Psychology
    MATH 222 – Calculus II
    PSYC 226 – Child and Adolescent Psychology
    EDUC 320 – Teaching Strategies K-12
    Sophomore MATH 323 – Calculus III
    MATH 355 – Foundations of Geometry
    EDUC 322 – Special Needs Students K-12
    QM 160 – Intro to Data Analytics
    MATH 341 – Linear Algebra
    EDUC 385 – Multicultural Understanding
    CS 205 – Programming for the Sciences
    Junior Math 365 – Probability
    Math 420 – Intro to Real Analysis
    EDUC 363 – Teaching in Secondary Schools
    EDUC 456 – Methods of Teaching Math
    MATH 445 – Abstract Algebra
    MATH 466 – Statistics
    EDUC 443 – Curriculum in Middle School
    Senior MATH 370 – Combinatorial Mathematics
    MATH 495 – Senior Seminar: Mathematical Modeling
    EDUC 428 – Reading in the Content Area
    EDUC 435 – Supervised Teaching Seminar
    EDUC 436 – Supervised Teaching

    These are sample plans of study. The courses listed are required for a B.S. with a major in mathematics education. Selected elective courses are also required. You will develop your own plan of study in consultation with your academic advisors.

Bachelor of Science in Pre-doctoral Mathematics

Pre-doctoral mathematics is a highly selective program for students who intend to pursue graduate study in mathematics leading to a doctoral degree. It involves undergraduate research and a curriculum that includes many courses typically offered only at the graduate level. Only two students are accepted per year.

Bachelor of Arts with a major in Mathematics

This curriculum is designed for students seeking exposure to advanced mathematics as part of a broad-based liberal arts curriculum. It is particularly suitable for students interested in pursuing graduate study in mathematics or related disciplines.

  • Sample 4-year Plan Beginning in an Odd Year

    Fall Spring
    Freshman MATH 221 – Calculus I
    QM 160 – Intro to Data Analytics
    MATH 222 – Calculus II
    Sophomore MATH 323 – Calculus III MATH 341 – Linear Algebra
    CS 205 – Programming for the Sciences
    Junior MATH 365 – Probability
    MATH 420 – Intro to Real Analysis
    MATH – Elective
    MATH – Elective
    Senior MATH 495 – Senior Seminar: Mathematical Modeling MATH 445 – Abstract Algebra

    Sample 4-year Plan Beginning in an Even Year

    Fall Spring
    Freshman MATH 221 – Calculus I
    QM 160 – Intro to Data Analytics
    MATH 222 – Calculus II
    Sophomore MATH 323 – Calculus III MATH 341 – Linear Algebra
    CS 205 – Programming for the Sciences
    Junior MATH 365 – Probability
    MATH 420 – Intro to Real Analysis
    MATH 445 – Abstract Algebra
    MATH – Elective
    Senior MATH 495 – Senior Seminar: Mathematical Modeling MATH – Elective

    These are sample plans of study. The courses listed are required for a B.A. with a major in mathematics. Selected elective courses are also required. You will develop your own plan of study in consultation with your academic advisors.

Mathematics Minor

This program is designed to equip students in other disciplines with quantitative reasoning, analytical skills and the ability to work in a problem solving environment.

Requirements: Mathematics 221, 222; at least four mathematics courses numbered 300 or above; Engineering 390 and Physics 305 may be applied towards this total.

Bachelor of Science in Statistics and Data Science

This degree program is designed for students pursuing a career as a data scientist or statistician. It combines cutting-edge techniques in data science with mathematically rigorous statistics. Statistics courses in the curriculum are project-driven, with an emphasis on the analysis of real-world data using statistical methods implemented by powerful statistical software. This program prepares students for a career in business or industry utilizing statistics or data science but is also sufficiently rigorous to prepare a student for graduate work in a related field. Learn more about the Statistics and Data Science program.

Statistics and Data Science Minor

The minor in Statistics and Data Science is designed to equip students in other disciplines with the quantitative, technical, and communication skills necessary to advance in their field of study. The program provides opportunities for students to apply their statistical knowledge to their discipline and a variety of real-world problems.

Requirements: Statistics 266, 267, 300, at least 3 semester hours of computer programming courses specified by the Department of Mathematics and two 300- or 400- level applied statistics courses.

  • Sample 4-year Plan Beginning in an Odd Year

    Fall Spring
    Freshman MATH 221 – Calculus I MATH 222 – Calculus II
    STAT 266 – Introductory Statistics with R
    Sophomore CS 210 – Fund. of Programming I
    STAT 267 – Experimental Design
    MATH 365 – Probability
    MATH 341 – Linear Algebra
    Math 466 – Statistics
    CS 215 – Fund. of Programming II
    Junior STAT 361 – Linear Models
    STAT 474 – Techniques for Large Data Sets
    Harlaxton
    Senior MATH 495 – Senior Seminar: Mathematical Modeling STAT 362 – Machine Learning
    STAT 493 – Statistical Modeling

    Sample 4-year Plan Beginning in an Even Year

    Fall Spring
    Freshman MATH 221 – Calculus I MATH 222 – Calculus II
    STAT 266 – Introductory Statistics with R
    CS 210 – Fund. of Programming I
    Sophomore STAT 267 – Experimental Design
    MATH 365 – Probability
    CS 215 – Fund. of Programming II
    MATH 341 – Linear Algebra
    Math 466 – Statistics
    Junior STAT 361 – Linear Models STAT 362 – Machine Learning
    Senior STAT 474 – Techniques for Large Data Sets
    MATH 495 – Senior Seminar: Mathematical Modeling
    STAT 493 – Statistical Modeling

    These are sample plans of study. The courses listed are required for a B.S. in statistics and data science. Selected elective courses are also required. You will develop your own plan of study in consultation with your academic advisors.

Office Phone:
812-488-1234

Office Email:
math@evansville.edu

Office Location:
Room 314, Koch Center for Engineering and Science